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QICID: 30284
Title: Quantifying the Impact of Variability and Noise on Patient Outcomes in Breast Cancer Decision Making
Copyright: ASQ; Taylor & Francis
Author: Simmons Ivy, Julie; Black Nembhard, Harriet; Baran, Kimberly
Organization: North Carolina State University; The Pennsylvania State University
Subject: Health care; Decision making; Process improvement; Testing; Uncertainty; Noise; Variability; False alarm rate (FAR);
Series: Quality Engineering, Vol. 21, No. 3, July 2009, pp. 319-334
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Abstract: [This abstract is based on the authors' abstract.]
Two issues of uncertainty in the breast-cancer decision-making process are addressed. These are factors contributing to false positive test results and the affect variability among radiologists has on patient outcomes. A simulation-based model is developed that combines statistical process control with a partially observable Markov decision process to incorporate uncertainty, variability among radiologists, and system noise to determine the impact on the breast-cancer monitoring decisions. Results show that variability among radiologists increases the number of false positive mammogram readings, and should be considered the primary concern to improve patient healthcare.
Number of pages: 16
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